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Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual ass ... Täielik kirjeldus
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Kirjeldus
Lisateave
| Autor | Vladimir Vovk, Alexander Gammerman, Glenn Shafer |
|---|---|
| Kirjastaja | Springer Science & Business Media |
| Väljalaskeaasta | 2005 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9780387001524 |